1 citations · 1 across the 2 of their papers we have counts for
5 papers
Mirror, Mirror on the Wall: Prompt Echoing in Small Instruct Language Models
Inez Okulska, Bartosz Naskręcki, Jan Piotrowski +1
Prompt echoing is a recognized failure mode of instruct language models, in which a model instead of generating a response, mirrors the provided prompt, even though it did not rece…
Interpretable Semantic Gradients in SSD: A PCA Sweep Approach and a Case Study on AI Discourse
Hubert Plisiecki, Maria Leniarska, Jan Piotrowski +1
Supervised Semantic Differential (SSD) is a mixed quantitative-interpretive method that models how text meaning varies with continuous individual-difference variables by estimating…
EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery
Yougang Lyu, Xi Zhang, Xinhao Yi +9
The increasing adoption of Large Language Models (LLMs) has enabled AI scientists to perform complex end-to-end scientific discovery tasks requiring coordination of specialized rol…
Contrastive News and Social Media Linking using BERT for Articles and Tweets across Dual Platforms
Jan Piotrowski, Marek Wachnicki, Mateusz Perlik +9
X (formerly Twitter) has evolved into a contemporary agora, offering a platform for individuals to express opinions and viewpoints on current events. The majority of the topics dis…
LLM generated responses to mitigate the impact of hate speech
Jakub Podolak, Szymon Łukasik, Paweł Balawender +4
In this study, we explore the use of Large Language Models (LLMs) to counteract hate speech. We conducted the first real-life A/B test assessing the effectiveness of LLM-generated…